气象水文海洋仪器2024,Vol.41Issue(2) :77-79,84.

结冰天气现象时空特征分析

Analysis of spatial and temporal characteristics of freezing weather phenomena

张苗苗 朱华亮 刘惠兰
气象水文海洋仪器2024,Vol.41Issue(2) :77-79,84.

结冰天气现象时空特征分析

Analysis of spatial and temporal characteristics of freezing weather phenomena

张苗苗 1朱华亮 1刘惠兰1
扫码查看

作者信息

  • 1. 安徽省气象信息中心,合肥 230031
  • 折叠

摘要

文章基于全国842个国家级地面观测站1961-2017年日观测资料,提取生成结冰天气现象序列,对全国范围内结冰日空间分布、结冰天气现象长期变化趋势及异常序列进行了统计分析.结果表明,中国结冰日北多南少,结冰日和纬度呈现明显的相关性;全国整体结冰日呈下降趋势,变化速率约为每10年下降2.3天;结冰异常序列年份大部分集中在1965-1973年和2010-2013年,除观测业务调整造成序列异常外,对结冰天气现象观测资料缺少质量控制也是造成序列异常的重要原因.研究结果为天气现象分析工作提供支持.

Abstract

Based on the daily observation data of 842 national ground observation stations in China from 1961 to 2017,the author extracted and generated the freezing weather phenomenon sequence,and statistically analyzed the spatial distribution of freezing days,the long-term change trend and abnormal sequence of freezing weather phenomenon in China.The results show that the freezing days in the north of China are more than those in the south,and there is a significant correlation between the freezing days and latitude.The overall freezing days in China showed a downward trend,and the change rate is decreasing per 10 years 2.3 days.Most of the freezing anomaly sequence years are concentrated in 2010-2013 and 1965-1973.In addition to the sequence anomaly caused by the adjustment of observation business,the lack of quality control of the observation data of freezing weather phenomena is also an important reason for the sequence anomaly.The research results provide support for the analysis of weather phenomena.

关键词

结冰天气现象/空间分布特征/时间序列/异常序列

Key words

freezing weather phenomenon/spatial distribution characteristics/time series/anomaly sequence

引用本文复制引用

基金项目

安徽省气象局创新发展专项(CXM202103)

安徽省气象局创新发展专项(CXM202202)

出版年

2024
气象水文海洋仪器
中国仪器仪表学会 气象水文海洋仪器分会 长春气象仪器研究所

气象水文海洋仪器

影响因子:0.307
ISSN:1006-009X
参考文献量6
段落导航相关论文